Model-Based Analysis and Synthesis of Time-Varying Mesh
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Temporal segmentation of 3-D video by histogram-based feature vectors
IEEE Transactions on Circuits and Systems for Video Technology
Grid smoothing: a graph-based approach
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Modeling 3D articulated motions with conformal geometry videos (CGVs)
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Dynamic 3-D facial compression using low rank and sparse decomposition
SIGGRAPH Asia 2012 Technical Briefs
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Time-varying mesh, which is attracting a lot of attention as a new multimedia representation method, is a sequence of 3-D models that are composed of vertices, edges, and some attribute components such as color. Among these components, vertices require large storage space. In conventional 2-D video compression algorithms, motion compensation (MC) using a block matching algorithm is frequently employed to reduce temporal redundancy between consecutive frames. However, there has been no such technology for 3-D time-varying mesh so far. Therefore, in this paper, we have developed an extended block matching algorithm (EBMA) to reduce the temporal redundancy of the geometry information in the time-varying mesh by extending the idea of the 2-D block matching algorithm to 3-D space. In our EBMA, a cubic block is used as a matching unit. MC in the 3-D space is achieved efficiently by matching the mean normal vectors calculated from partial surfaces in cubic blocks, which our experiments showed to be a suboptimal matching criterion. After MC, residuals are transformed by the discrete cosine transform, uniformly quantized, and then encoded. The extracted motion vectors are also entropy coded after differential pulse code modulation. As a result of our experiments, 10%-18% compression has been achieved.